ICLR

All Work

Adversarial Support Alignment
Adversarial Support Alignment
 
Data-Efficient Graph Grammar Learning for Molecular Generation
Data-Efficient Graph Grammar Learning for Molecular Generation
 
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
 
Can an Image Classifier Suffice For Action Recognition?
Can an Image Classifier Suffice For Action Recognition?
 
RegionViT: Regional-to-Local Attention for Vision Transformers
RegionViT: Regional-to-Local Attention for Vision Transformers
 
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
 
Bi-linear Value Networks for Multi-goal Reinforcement Learning
Bi-linear Value Networks for Multi-goal Reinforcement Learning
 
Overcoming The Spectral Bias of Neural Value Approximation
Overcoming The Spectral Bias of Neural Value Approximation
 
Neural Parameter Allocation Search
Neural Parameter Allocation Search
 
Extending the WILDS Benchmark for Unsupervised Adaptation
Extending the WILDS Benchmark for Unsupervised Adaptation
 
Network Augmentation for Tiny Deep Learning
Network Augmentation for Tiny Deep Learning
 
Multi-Critic Actor Learning: Teaching RL Policies to Act with Style
Multi-Critic Actor Learning: Teaching RL Policies to Act with Style
 
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
 
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
 
Optimizer Amalgamation
Optimizer Amalgamation
 
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
 
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
 
Topological Experience Replay
Topological Experience Replay
 
Linking Emergent and Natural Languages via Corpus Transfer
Linking Emergent and Natural Languages via Corpus Transfer
 
Monotonic Differentiable Sorting Networks
Monotonic Differentiable Sorting Networks
 
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
 
Controlling Directions Orthogonal to a Classifier
Controlling Directions Orthogonal to a Classifier
 
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
 
Natural Language Descriptions of Deep Visual Features
Natural Language Descriptions of Deep Visual Features
 
Generating new molecules with graph grammar
Generating new molecules with graph grammar
MIT News
Solving the challenges of robotic pizza-making
Solving the challenges of robotic pizza-making
MIT News
Better learning through ‘complex dough-manipulation’
Better learning through ‘complex dough-manipulation’
Tech Crunch
Reverse Engineering of Imperceptible Adversarial Image Perturbations
Reverse Engineering of Imperceptible Adversarial Image Perturbations
 
Using artificial intelligence to find anomalies hiding in massive datasets
Using artificial intelligence to find anomalies hiding in massive datasets
MIT News
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
 
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
 
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning
 
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition
 
VA-RED^2: Video Adaptive Redundancy Reduction
VA-RED^2: Video Adaptive Redundancy Reduction
 
Nano-Material Configuration Design with Deep Surrogate Langevin Dynamics
Nano-Material Configuration Design with Deep Surrogate Langevin Dynamics
 
Lite Transformer with Long-Short Range Attention
Lite Transformer with Long-Short Range Attention
 
Robust Overfitting may be mitigated by properly learned smoothening
Robust Overfitting may be mitigated by properly learned smoothening
 
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
 
Generating Adversarial Computer Programs using Optimized Obfuscations
Generating Adversarial Computer Programs using Optimized Obfuscations
 
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
 
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
 
Learning Task Decomposition with Ordered Memory Policy Network
Learning Task Decomposition with Ordered Memory Policy Network
 
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
 
Individually Fair Gradient Boosting
Individually Fair Gradient Boosting
 
Individually Fair Ranking
Individually Fair Ranking
 
Statistical inference for individual fairness
Statistical inference for individual fairness
 
Learning-based Support Estimation In Sublinear Time
Learning-based Support Estimation In Sublinear Time
 
Large Associative Memory Problem in Neurobiology and Machine Learning
Large Associative Memory Problem in Neurobiology and Machine Learning
 
Can a Fruit Fly Learn Word Embeddings?
Can a Fruit Fly Learn Word Embeddings?
 
This hybrid AI system can understand causality in controlled environments
This hybrid AI system can understand causality in controlled environments
TheNextWeb
SenSR: the first practical algorithm for individual fairness
SenSR: the first practical algorithm for individual fairness
 
Why Gradient Clipping accelerates training for neural networks
Why Gradient Clipping accelerates training for neural networks
 
CLEVRER: The first video dataset for neuro-symbolic reasoning
CLEVRER: The first video dataset for neuro-symbolic reasoning
 
Fast and efficient black-box testing for AI cybersecurity
Fast and efficient black-box testing for AI cybersecurity
 
Layer-wise federated learning with FedMA
Layer-wise federated learning with FedMA
 
Learning Rate Rewinding for elegant neural network pruning
Learning Rate Rewinding for elegant neural network pruning
 
Implementation Matters in Deep RL: A Case Study on PPO and TRPO
Implementation Matters in Deep RL: A Case Study on PPO and TRPO
 
Once for All: Train One Network and Specialize it for Efficient Deployment
Once for All: Train One Network and Specialize it for Efficient Deployment
 
Deep Audio Priors Emerge From Harmonic Convolutional Networks
Deep Audio Priors Emerge From Harmonic Convolutional Networks
 
A Closer Look at Deep Policy Gradients
A Closer Look at Deep Policy Gradients